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Record W2471854879 · doi:10.14295/idonline.v10i30.395

IDHM dos Estados da região Nordeste do Brasil: Histórico e Análise entre 1991 e 2010

2016· article· pt· W2471854879 on OpenAlexaff
Uirá Araújo Nery da Cunha, Liliane Caraciolo Ferreira

Bibliographic record

VenueID on line REVISTA DE PSICOLOGIA · 2016
Typearticle
Languagept
FieldEnvironmental Science
TopicRural Development and Agriculture
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsGeographyHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

ResumoA região Nordeste do Brasil historicamente sofreu por diversas mudanças demográficas e étnicas ao longo do processo de colonização e formação da república. Tal formação conjuntural atrelada às condições climáticas peculiares da região repercutiu decisivamente na questão regional e seu desenvolvimento socioeconômico. A análise do IDH (Índice de Desenvolvimento Humano), calculado pelo IBGE a nível municipal e apresentado a nível estadual, foi realizada entre os anos de 1991 e 2010, tomando três anos como base de dados (1991,2000 e 2010). O acompanhamento específico de quatro variáveis (IDHM, IDHM Renda, IDHM Saúde e IDHM Educação ) dos estados da federação (incluindo o Distrito Federal) foi realizado com o foco principal da evolução das variáveis de desenvolvimento humano frente às disparidades regionais existentes e possíveis inferências quanto à problemática nos próximos anos.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.211
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.008

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.243
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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